摘要
碱金属钼酸盐黄相在高放废液玻璃固化过程中难以处理,严重影响玻璃的化学稳定性。为了对高钼废液固化玻璃的化学稳定性进行较为准确的预判,从而加速配方研发进程,利用玻璃结构基因模拟法(GSg M)研究了高Mo (2.6%~3.3%,质量分数)模拟高放废液硼硅酸盐玻璃的化稳性和钼分相累积情况,建立了B、Li、Na、Mo浸出率、玻璃转变温度和钼分相累积程度的结构预测模型,并进行了模型验证。研究显示,在本工作的成分研究范围内,钼分相成分主要为CsLiMoO_(4)(水溶性黄相)及CaMoO_(4)(耐水性晶相)。成分–结构–性质关系表明,提高Li_(2)O和CaO会显著促进钼分相的形成。518~528 cm^(-1)Si—O—Si振动增强,则钼分相加剧,但[BO_(3)]基团中B—O—B振动增强,可有效减少钼分相的析出。模型验证结果表明,各性质的结构预测模型可对设计玻璃的化稳性及钼分相累积程度进行快速预测,以筛选设计玻璃配方是否有进一步研究的必要。
Introduction The solubility of Mo in borosilicate glasses is relatively low.Therefore,molybdate is easy to separate from glass,forming Mo-yellow phase(alkali molybdates,such as Na_(2)MoO_(4),CsLiMoO_(4),and Li_(2)MoO_(4))or CaMoO_(4) crystals.The crystal CaMoO_(4) performs a superior water resistance ability,which can effectively reduce the Mo leaching rate of a high Mo content and high level waste(HLW)solidification glass.On the contrary,alkali-Mo-yellow phase is highly water-soluble,leading to a serious Mo-leaching,and thus decreases the chemical durability of the products.The duration of the chemical durability test of solidification glass is 7 or 28 days,thus retarding the whole cycle for the investigation of HLW solidification glass.Effective predicting Mo-yellow phase and the Mo leaching rate can accelerate the research via saving time on glass preparation and chemical durability test.Based on the glass structural gene modeling(GSgM),this paper proposed the Structure-Property(S−P)prediction models of chemical durability and the possibility of Mo-phase separation(PS,its value is xPS)for a simulated high Mo content(MoO_(3)2.6−3.3%)HLW borosilicate solidification glass.The key elements(i.e.,Na,Li,B,and Mo)leaching rate r_(Na),r_(Li),r_(B),r_(Mo) as well as the Mo-phase separation xPS were predicted by the models.The reliability and practicability of the models were proved.In addition,combined with the Structure-Composition(S−C)modeling,the C−S−P analysis was also carried out for xPS and r_(Mo).Methods Fifteen borosilicate glasses were designed by an one-component-at-a-time(OCAT)method.Glasses with different weights(130 g and 800 g)were prepared for each composition.Small samples with the mass of 130 g were melted and quenched.Large glass samples with the mass of 800 g were melted,and annealed.The properties of the samples were determined by X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR)with KBr,differential scanning calorimetry(DSC)and PCT-7 day chemical durability test,respectively.Mo-phase(xPS)was evaluated and scored for each sample by naked eyes(from 0−100%,high score means high probability of Mo-phase separation).The structural data used for modeling were derived from FTIR peak fitting area Ai.Each FTIR spectrum was decomposed into 10 Gaussian bands by a software named GRAMS AI 32 according to the same fitting rules.The S−P and S−C models were constructed by a software named JMP based on the Cornell first-order linear mixture formula.The sample(glass MV)for model validation was also prepared and measured by the same procedure.Results and discussion No Mo-phase appeats in the small samples(130 g),while a serious Mo-phase separation(i.e.,yellow phase and white phase)occurs in some large samples(800 g),which can be attributed to the Mo-phase accumulation and the slow cooling rate of large size glasses.The XRD patterns indicate that the main components of Mo-phase are CsLiMoO_(4)(i.e.,water-soluble yellow phase,yellow)and CaMoO_(4)(i.e.,water-resistant crystal,white).The S−P models with satisfied statistical significance(i.e.,P<0.0001)and model accuracy(i.e.,R_(sq)≥0.87)are proposed based on the Ai and glass properties.The corresponding prediction formula of the target properties(i.e.,Na,Li,B,Mo leaching rate ri,Tg,xPS)are r_(B)=0.085-0.036A_(3)+0.024A_(4)+0.002A_(5)(1)r_(Li)=0.13-0.052A_(3)+0.005A_(5)+0.005A_(6)(2)Na 3667 r=0.38-0.086A+0.008A-0.003(A+A)(3)r_(Mo)=3.16-1.28A_(3)(4)Tg=456.1+0.57A7+1.51A8+1.31A10(5)xPS=57.1+68.07A_(2)-42.37A_(3)(6)In order to test the reliability of the models,a validation glass(i.e.,MV)is designed.The Ai values of MV(130 g,without Mo phase separation)are used to calculate the target properties by formulas(1)to(6),and the predicted values of each property are r_(B)=0.05 g·m^(-2)·d^(-1),r_(Li)=0.06 g·m^(-2)·d^(-1),r_(Na)=0.04 g·m^(-2)·d^(-1),r_(Mo)=1.49 g·m^(-2)·d^(-1).Tg=524.1℃,xPS=83%.The model prediction results show that MV glass can perform high Mo leaching rate,exceeding the EJ-1186 standard(ri<1 g·m^(-2)·d^(-1)).The Mo-phase possibility is 83%,indicating that MV glass has heavy Mo-phase separation.The r_(B),r_(Li),r_(Na) meets the standard requirement.The large sample MV(800g)is prepared.Large area of MV glass is covered by Mo phase separation,which is scored by 70%by naked eyes,and the r_(B),r_(Li),r_(Na) is qualified to EJ-1186.However,the r_(Mo) is as high as 0.91 g·m^(-2)·d^(-1),which is close to the standard limit.Considering the test error,MV glass is not valuable for further investigation and measurement(such as viscosity,electrical resistance,liquidus temperature,etc.).The measured properties are r_(B)=0.06 g·m^(-2)·d^(-1),r_(Li)=0.14 g·m^(-2)·d^(-1),r_(Na)=0.15g·m^(-2)·d^(-1),r_(Mo)=0.91 g·m^(-2)·d^(-1).Tg=524.4℃,xPS=70%.The S−P models indicate that within the designed glass composition,the Mo phase separation can prevent effectively with the decrease of Si—O—Si vibrations at 518−528 cm^(-1),and the increase of B—O—B bending vibrations in[BO_(3)]units.In order to figure out the components that affect the target structure as well as xPS and r_(Mo),a detailed exploration of the components associated with the structure units that screen for PS and r_(Mo) from S−P models is simulated via S−C modeling.The results indicate that Li_(2)O and CaO enhancement can increase the formation of Mo-phase,in which CaO can lead to the formation of the water resistance white crystal CaMoO_(4),while Li_(2)O intensifies the precipitation of water-soluble Mo-yellow phase CsLiMoO_(4).SiO_(2) can affect the formation of CaMoO_(4) and CsLiMoO_(4).Certainly,Li_(2)O can promote the Mo leaching rate.Conclusions A series of high Mo(MoO_(3)2.6%−3.3%),HLW borosilicate solidification glass was investigated by Glass Structural gene Modeling(GSgM)to establish the prediction models for the key elements(i.e.,Na,Li,B,Mo)leaching rate r_(Na),r_(Li),r_(B),r_(Mo) and the Mo-phase separation.The r_(Na),r_(Li),r_(B),r_(Mo) and xPS with a satisfied accuracy were predicted.The results were summarized as bellow:1)The main components of Mo-phase were water-soluble yellow phase CsLiMoO_(4)(yellow)and water-resistant white crystal CaMoO_(4).2)The S−P models for all the target properties exhibited high accuracy(R_(sq)≥0.87)and satisfied statistical significance(P<0.0001).The model validation proved the reliability of the models.3)Composition-structure-property analysis showed that SiO_(2) variation could affect the concentration of Si—O—Si(at 518−528 cm^(-1))and B—O—B bending vibrations in[BO_(3)]units,inducing two opposite effects on the Mo-phase separation,which could be evaluated via the simulated parameter calculation.Li_(2)O enhancement increased the formation of water-soluble Mo yellow phase CsLiMoO_(4),and promoted the Mo leaching rate consequently.CaO could lead to the formation of the water resistance white crystal CaMoO_(4).
作者
戴晨
李洪
张丽艳
胡丽丽
朱小莉
潘安练
DAI Chen;LI Hong;ZHANG Liyan;HU Lili;ZHU Xiaoli;PAN Anlian(College of Materials Science and Engineering,Hunan University,Changsha 410082,China;Key Laboratory of Materials for High Power Laser,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China;Nippon Electric Glass,North Carolina 28150,The United States)
出处
《硅酸盐学报》
EI
CAS
CSCD
北大核心
2024年第6期2068-2080,共13页
Journal of The Chinese Ceramic Society
基金
两步法冷坩埚玻璃固化工程样机研制及验证(FKY1683ZH G001SSJS-B01-001)。
关键词
高放废液
硼硅酸盐玻璃固化
钼分相
浸出率
结构基因模拟
high-level liquid waste
borosilicate solidification
Mo phase separation
leaching rate
glass structural gene modeling